Profile photo Edwin Bennink

Edwin Bennink

Assistant Professor

Strategic program(s):

Biography

Edwin Bennink works as a researcher and research software engineer for the Medical Physics Group and the Image Sciences Institute (UMC Utrecht - Dept. of Radiology).

He received the MSc degree (cum laude) in biomedical engineering from the Eindhoven University of Technology in 2007. In 2016, he received his PhD from the Utrecht University, with a research project on quantitative CT brain perfusion analysis. From 2007 to 2011 he worked as senior software developer for Scientific Volume Imaging BV.

Besides doing research in CT imaging in acute stroke and supporting various image-analysis related projects throughout the UMC Utrecht, Edwin is one of the lead developers of IMAGR, the image analytics infrastructure that brings deep-learning algorithms into the clinical workflow.

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Recent publications

Spatial correlation between in vivo imaging and immunohistochemical biomarkers Hilde J.G. Smits, Edwin Bennink, Lilian N. Ruiter, Gerben E. Breimer, Stefan M. Willems, Jan W. Dankbaar, Marielle E.P. Philippens
Translational Oncology, 2024, vol. 48
The relationship of fat and muscle measurements with emphysema and bronchial wall thickening in smokers Stijn Bunk, Jetty Ipema, Grigory Sidorenkov, E Bennink, Rozemarijn Vliegenthart, Pim de Jong, Esther Pompe, Jean-Paul Charbonnier, B. Luijk, Joachim Aerts, Harry Groen, Firdaus Mohamed Hoesein
ERJ Open Research, 2024
Standardizing the estimation of ischemic regions can harmonize CT perfusion stroke imaging Daan Peerlings, Edwin Bennink, Jan W Dankbaar, Birgitta K Velthuis, Bart J Emmer, Jan W Hoving, Charles B L M Majoie, Henk A Marquering, Henk van Voorst, Hugo W A M de Jong, ,
European Radiology, 2023, vol. 34, p.797-807
Spatial CT perfusion data helpful in automatically locating vessel occlusions for acute ischemic stroke patients D Peerlings, Hugo de Jong, E Bennink, Jan Willem Dankbaar, Birgitta Velthuis, Bart J Emmer, C.B. Majoie, H. A. Marquering,
Frontiers in Neurology, 2023, vol. 14
Neural network-derived perfusion maps Umberto A. Gava, Federico D’Agata, Enzo Tartaglione, Riccardo Renzulli, Marco Grangetto, Francesca Bertolino, Ambra Santonocito, E Bennink, Giacomo Vaudano, Andrea Boghi, Mauro Bergui
Frontiers in Neuroinformatics, 2023, vol. 17
Detection of Cardioembolic Sources With Nongated Cardiac Computed Tomography Angiography in Acute Stroke Frans Kauw, Birgitta K Velthuis, Richard A P Takx, Marco Guglielmo, Maarten J Cramer, Fasco van Ommen, Anneloes Bos, Edwin Bennink, Henk A. Marquering, L Jaap Kappelle, Hugo W A M de Jong, Jan W Dankbaar
Stroke, 2023, vol. 54, p.821-830